Stephen A. Smith
J.C. Penney Research Professor and
Professor of Operations and Management Information Systems
Stephen A. Smith is J.C. Penney Research Professor and Associate Director of the Retail Workbench Research and Education Center in the Leavey School of Business at Santa Clara University. He has served as Chair of the Operations and MIS Department at Santa Clara, and previously worked as a research scientist for ten years at the Xerox Palo Alto Research Center.
Professor Smith teaches operations management and computer modeling classes at the undergraduate and MBA levels at Santa Clara University. His teaching focuses on applications of computer based systems in managing supply chains. He is also a Faculty Affiliate of the Environmental Studies Institute and has developed a course in environmental economics. He is currently Associate Editor of the journal Manufacturing and Service Operations Management, and has served on the editorial boards of Operations Research, Management Science, and Industrial Engineering Transactions.
Professor Smith's current research focuses on retail supply chain management, pricing and assortment optimization. He is author of more than fifty research publications, which have appeared in a variety of journals including Management Science, Operations Research, Marketing Science, Journal of Retailing, Journal of Marketing Research, Econometrica, and Journal of Economic Theory. He is co-editor of a volume on electric power pricing and is currently working on a book titled Retail Supply Chain Management.
Professor Smith received a Ph.D. in Engineering-Economic Systems from Stanford University, and BS and MS degrees in mathematics. He was co-founder and principal of Pricing Strategy Associates, a consulting partnership serving the electric power industry. More recently, he has consulted for a variety of retailers including Target, The Gap, and Levi Strauss, and has served as a technical advisor to three software companies that develop decision support systems for retailers. He was recently granted a U.S. patent for a retail forecasting algorithm.